Working Papers

Discussion of: “Dynamic Causal Effects in a Nonlinear World: the Good, the Bad, and the Ugly”

The ease of estimating linear local projections has made them a popular tool for impulse response function analysis. Koles´ar and Plagborg-Møller’s main goal is to inquire whether local projections (LP) estimands of impulse response functions have a …

Impulse Response Functions in Time Varying VARs: A Clustered Local Projections Approach

Systemic Risk Monitoring in Europe: Mapping Financial Contagion with Block-Level Dynamics

How do financial shocks ripple through an economy - globally, regionally, or idiosyncratically? We propose a novel decomposition of connectedness across European sovereigns, financial institutions, and non-financial firms by separating global shocks, …

Nonparametric Local Projections

Nonlinearities play an increasingly important role in applied work when studying the responses of macroeconomic aggregates to policy shocks. Seemingly natural adaptations of the popular local linear projection estimator to nonlinear settings may fail …

State-Dependent Local Projections

Do state-dependent local projections asymptotically recover the population responses of macroeconomic aggregates to structural shocks? The answer to this question depends on how the state of the economy is determined and on the magnitude of the …

Oil Prices Uncertainty, Endogenous Regime Switching, and Inflation Anchoring

Using a novel approach to model regime switching with dynamic feedback and interactions, we extract latent mean and volatility factors in oil price changes. We illustrate how the volatility factor constitutes a useful measure of oil market risk (or …

Long-Horizon Stock Valuation and Return Forecasts Conditional on Demographic Projections

We incorporate low-frequency information from demographic variables into a simple predictive model to forecast stock valuations and returns using demographic projections. The demographics appear to be an important determinant of stock valuations, …

Conditional Inference in Nearly Cointegrated Vector Error-Correction Models with Small Signal-to-Noise

This paper studies inference in cointegrating regessions and vector error correction (VEC) models when the cointegrating errors are a nearly integrated process with a low signal-to-noise-ratio. This combination of persistent, yet low variance error …

Impulse response analysis for structural dynamic models with nonlinear regressors

We study the construction of nonlinear impulse responses in linear structural dynamic models that include nonlinearly transformed regressors. We derive the closed-form solution for the population impulse responses to a given shock and propose a …